Big Data Project Inventory

Home   Inventory


The GWG Big Data Inventory is a catalog of Big Data projects that are relevant for official statistics, SDG indicators and other statistics needed for decision-making on public policies, as well as for management and monitoring of public sector programs/projects. This inventory is a joint product of the World Bank and the United Nations Statistics Division (UNSD) put together on behalf of the UN Global Working Group (GWG) on Big Data for Official Statistics. The tasks related to the content of the inventory are led by the World Bank and UNSD, and the technical side is serviced by the UNSD technical team.


Search

If you are working on a project that you would like to be considered for inclusion in this Inventory, even if the project is in an initial phase, please fill out this application form.

Please note that the project should either use Big Data sources and/or utilize Big Data techniques, and ideally have some relevance or implications for official statistics, SDG indicators or other statistics needed for decision-making on public policies. The Global Working Group will review submissions and include those projects that meet these criteria, or possibly contact you for further information. Please note that the information submitted below, once approved, will be made public on the GWG Big Data Project Inventory website.

The comparison between the data of interbank transactions and the retail sales: credit card data for use in verifying retail sales

Country/Area: China
Organization / Dept: China - National Bureau of Statistics
    Data sources:
  • Credit card data

Contact information

Project description:

We get the year-on-year data and the chain data of the credit card transaction amounts in different industries from the headquarters of UnionPay on a monthly basis. Then we use the data to verify the growth trends of the retail sales.

Objective:

  • Scientific / research

Statistics Area:

  • Economic and financial statistics


Partnerships
  • Data providers: Not Specified
  • Other partners:
    • Technology partner
  • Partnerships Comments: Not Specified

SDG Indicators
  • SDG Goals: Not Specified
  • SDG Comments: Not Specified
  • SDG Relevance: Not Specified

Data Access
  • Data Access Rights: Broader access rights
  • Data Access Comments: We hope to explore more Big Data applications for different levels and different purposes by further cooperation.
  • Intermediary: No

Data Coverage
  • Coverage Period: Since January 2014
  • Data Coverage: Only a portion of all data
  • Coverage Geo Pop: Whole country / high % of market
  • Cost Implication: Free

Data Quality
  • Validation With Training Data: No
  • Quality Framework: Quality of output statistics
  • Data Quality Concerns: No
  • Quality Aspects Evaluated:
    • Privacy and Security
    • Completeness, Usability, Time Factors
    • Accuracy, including selectivity
    • Coherence, including linkability to other sources
    • Validity

Methodology
  • Methods Used:
    • Traditional statistical methods
  • Developed New Methods: No

Technologies
  • Technologies Used:
    • Spreadsheet

Other
  • Timeframe To Produce Indicator: NA